SCI-Arc alumni continue to make an indelible mark on the global design landscape, pioneering new approaches in architecture, technology, and interdisciplinary practices. With a reputation for fostering radical experimentation, the school has produced graduates whose work challenges conventions and redefines spatial possibilities. Recent alumni achievements underscore SCI-Arc's role in shaping the next generation of architects and creative thinkers.
When architects are still students, a moment often marks a turning point: their first encounter with software. It's not just about learning a tool but discovering a space where ideas transcend physical models, taking shape in a digital environment and beginning a relationship many will carry throughout their careers. What happens next? Software keeps evolving, and with it, the design experience. In recent years, this evolution has accelerated—machine learning, AI, prompts, and integrated workflows have moved from the periphery to the core of design practice, becoming part of the shared language between software and users. As these tools take hold, a key question emerges: How will this reshape our experience of designing architecture in the future?
Dutch artist Madelon Vriesendorp has been named the recipient of the 2025 Soane Medal, becoming the first UK-based female artist to receive the award since its launch in 2017. A co-founder of Office for Metropolitan Architecture (OMA), Vriesendorp is widely recognized for her surrealist and humorous visual language that has shaped how modern and postmodern architecture is represented and understood. Her work, which blends playfulness with critical thought, has provided architecture with vivid, memorable imagery that continues to influence generations of architects.
Architecture's design process has always been shaped by the tools at hand. We once drew with pen and ink on fragile sheets, copied by blueprint and guarded against smudges and tears; then Mylar arrived, making revisions and preservation easier and nudging drawings toward a leaner, more deliberate economy of lines. Computer-aided drafting followed, speeding coordination and changing how we think about scale and precision. Today, AI adds another layer—gathering information in seconds and spinning images on command—promising new efficiencies while raising fresh questions about authorship and craft. What we make, and how we make it, has evolved with each tool; the history of our methods is the history of our ideas.
Beginning in the post-war era, Mylar (developed in the 1950s) eased drawing reproduction and hastened the shift from blueprint to whiteprint processes. Before Mylar, simply preserving drawings—keeping an idea intact, legible, and undamaged—was a significant task. Post-war design priorities often leaned toward efficiency, simplicity, and an industrial minimalism aligned with reconstruction needs. The tools reinforced this: architectural work remained predominantly hand-drawn, where every line took time to lay down and even more time to erase. That labour sharpened the economy of drawing; each stroke had to earn its place.
Despite major breakthroughs in other industries, with tools like Cursor reshaping how software gets built, or AlphaFold revolutionizing protein structure prediction, AEC is still waiting on its defining AI moment. Yes, many visualization tools have made waves, especially when it comes to generating beautiful imagery. But they fall short when it comes to understanding the actual design process. They don't grasp the constraints, logic, and decisions that turn those visuals into real, buildable architecture.
And that's exactly where AI's most valuable use case in AEC lies: not in how a building looks, but in how it comes together.
© Ulises (@ulises.studio)
Artificial intelligence is becoming an undeniable presence in our daily lives. It teaches, generates content, and disrupts the fragile boundaries—both visual and imaginative—that once governed our interactions on social media. On platforms like Instagram, we witness a flood of imagery where every kind of speculative exercise is freely shared, recalibrating our understanding of the relationship between architecture and image. Amid this transformation, entire professions find themselves on uncertain ground, as AI begins to challenge areas once defined by human expertise.
Yet beneath this apparent abundance lies the opaque core of closed-source AI: an algorithmic black box that systematically conceals the origins of the data it consumes. As a result, its outputs are inevitably prone to factual distortions, anachronisms, and subtle or overt biases. This same machinery can hollow out the significance behind the languages and stylistic signatures of canonical architects—manifest, for instance, in AI-generated visions speculating how famed designers, living or dead, might have reimagined the Eiffel Tower. We shared one such image to observe and better understand how people—especially architects—respond to AI's current possibilities and limitations, and the ways it mimics architectural intent. The response was quite fascinating, revealing a mix of curiosity, concern, and critical reflection.
SketchUp 2025 introduces new tools and enhancements aimed at improving how architects and designers visualize, collaborate, and communicate their work.
This release brings more realistic materials and immersive environments, making it easier to create compelling visual representations of architectural models. These visualization updates are available across SketchUp for Desktop, Web, and iPad, as well as in LayOut and 3D Warehouse, allowing for a consistent experience across platforms.
Over the last decade, architectural design has relied on 2D methods of representation, such as elevations, sections, and floor plans, paired with digital renderings of 3D models. While these tools are essential to convey geometry and intent, they remain limited by their two-dimensional format. Even the most realistic renderings, created through programs like SketchUp, Revit, or AutoCAD, still flatten space and distance the viewer from the lived experience of a project. Recently, architects have begun to explore immersive technologies as a way to bridge this gap between drawing and experience, offering new ways to inhabit and assess spatial proposals.
Real-time rendering technology is evolving at an unprecedented pace, and D5 Render 2.10 sets a new benchmark with the introduction of real-time path tracing. In addition to this cutting-edge advancement, the update brings significant improvements to AI-driven post-processing, procedural city generation, weather effects, animation controls, and team collaboration features, elevating both rendering quality and workflow efficiency.
Architecture is a discipline that evolves through progressive stages, with each phase building upon the previous one. Schematic design, for example, begins with broad concepts and initial explorations, followed by site analysis, sketches, and 3D models, with adjustments made along the way. The true challenge lies not just in following this sequence but in balancing speed, quality, and efficiency to navigate the trade-off between time and quality. In this context, the integration of generative artificial intelligence in the built environment reshapes architectural dynamics by assisting architects and creating space for more experimentation and exploration. Its impact is especially significant in rendering, which was previously a constraint at different project stages—particularly during concept development. Today, however, AI-powered architectural rendering operates smoothly, allowing more focus on creative problem-solving through innovative tools and strategies.
The Phasing Animation feature in D5 Render 2.9 redefines how professionals present complex projects. It simplifies the creation of dynamic, step-by-step visualizations, perfect for showcasing construction phases, product assemblies, and landscape transformations. With pre-designed templates like Drop/Rise or Ascend/Descend, users can quickly arrange objects in sequence without the need for complex keyframing, making it easier to illustrate how a structure is built, how a product is installed, or how elements grow and evolve within a landscape.
In architecture, the way we communicate our ideas is just as important as the spaces we design. But how can we convey these thoughts most effectively? While words hold influence, visuals are indispensable. Much like a musical score shapes a melody, drawings transform abstract concepts into tangible forms, acting as a shared language for architects and designers. They facilitate understanding and refinement of design concepts, especially in a digital era where precise graphic communication is essential to translate the experience of space. From this perspective, Architecture Candy explores architectural graphics to streamline and enhance visual communication within the fast-paced realm of architecture, which increasingly depends on advanced digital tools and workflows. The studio aims to be a go-to resource for elevating ideas with clarity, harnessing design and storytelling to narrate complex concepts through a minimalist style.
The creation of images through artificial intelligence (AI) surprised us a few years ago. Utilizing algorithms such as convolutional neural networks (CNNs), these systems are trained to identify visual patterns in images from the huge database of the internet, interpret them, and generate new compositions. Initially, the results tended to be rudimentary, often distorted and strange, but with the evolution of systems and training methods, AI has started to produce highly detailed and visually impressive images, challenging the limits of digital creativity. In architecture, this has been no different. As architectural design evolves, technologies that allow architects to bring their visions to life are progressing alongside it. AI renderings are transforming the way we visualize and conceptualize spaces, with the potential to significantly reduce costs, increase efficiency, and improve accuracy, especially in terms of scale fidelity and spatial representation.
We are thrilled to announce our upcoming October workshops in collaboration with our ArchDaily Plus partner, Parametric Architecture. These workshops have been thoughtfully curated to empower architects, designers, and enthusiasts by providing them with the latest insights and skills in the dynamic realm of parametric design. Guided by industry experts and visionaries, these immersive sessions will explore cutting-edge techniques, innovative tools, and practical applications, creating an inspiring and dynamic learning environment where participants can take their design expertise to unprecedented levels.
Architectural presentations to clients typically include renders, diagrams, and drawings. Interpreting these and envisioning the final product requires imagination and architectural insight to fill in the gaps and visualize a final product. BIG and Squint/Opera, a partnership between an architectural powerhouse and a creative digital studio, explore innovative methods to convey spatial and architectural design beyond traditional means. They reimagine architectural storytelling beyond static 2D visuals through cutting-edge video production and immersive technology, enabling clients and the general public to fully experience their futuristic visions of city planning and architectural design. Their notable collaborations include the video production for the Toyota Woven City Project and the creation of the VR collaborative design tool HyperForm.
In a conversation with ArchDaily, Daniel Sundlin, partner at BIG, and Matt Quinn, Commercial Director at Squint/Opera, discuss their insights on the future of architectural digital storytelling.
The introduction of AI generative tools represents one of the most significant technological revolutions in the field of architecture and design. While there is concern about this changing the working landscape for professionals in the field, a significant number of practices are embracing the new technology. Architectural visualizations represent one of the main areas where these changes take effect. However, the array of AI tools accessible to non-specialist users rarely allows for true control over the design process, often offering general interpretations of scripts. This can be helpful during early conceptual design phases but loses its appeal soon after. Gendo, a new browser-based app, aims to change this, offering the possibility to not only generate visualizations in seconds but also to edit and customize them, even introducing real-life products in the design. Until August 3, readers of ArchDaily can register and use the code ARCHDAILY50 to get 50% off any plan.
In the competitive fields of architecture and design, mastering the art of visualization is as crucial as generating innovative ideas. Whether you harness 3D models from SketchUp, use AI-generated images with Diffusion [Labs], or employ external rendering programs like V-Ray, selecting the right visualization technique can significantly advance your professional journey.
Here’s a closer look at the top ten benefits of architectural visualization, illustrated by real-world success stories from the industry.
The Enscape 4 All - Architectural Real-Time Visualization Award, a collaboration between ArchDaily and Enscape, has spotlighted the most outstanding and innovative real-time renders produced using the Enscape 4 Real-Time Engine. This award recognizes excellence in four distinct categories: Interior, Exterior, Landscape, and Conceptual. The jury, composed of ArchDaily Editors and Enscape specialists, assessed submissions based on creativity, technique, and the innovative use of real-time rendering. Submissions poured in from all over the world, highlighting the global reach and appeal of this competition.
